亲爱的研友该休息了!由于当前在线用户较少,发布求助请尽量完整地填写文献信息,科研通机器人24小时在线,伴您度过漫漫科研夜!身体可是革命的本钱,早点休息,好梦!

Sensitivity of eye-movement measures to in-vehicle task difficulty

任务(项目管理) 凝视 眼球运动 灵敏度(控制系统) 计算机科学 驾驶模拟器 模拟 计算机视觉 工程类 人工智能 电子工程 系统工程
作者
Trent Victor,Joanne L. Harbluk,Johan Engström
出处
期刊:Transportation Research Part F-traffic Psychology and Behaviour [Elsevier]
卷期号:8 (2): 167-190 被引量:428
标识
DOI:10.1016/j.trf.2005.04.014
摘要

Eye-movement measures were found to be highly sensitive to the demands of visual and auditory in-vehicle tasks as well as driving task demands. Two newer measures, Percent road centre and Standard deviation of gaze, were found to be more sensitive, more robust, more reliable, and easier to calculate than established glance-based measures. The eye-movement measures were collected by two partners within the EU project HASTE to determine their sensitivity to increasingly demanding in-vehicle tasks by means of artificial, or surrogate, In-vehicle Information Systems (S-IVIS). Data from 119 subjects were collected from four routes: a motorway in real traffic with an instrumented vehicle, a motorway in a fixed base simulator, and from rural roads in two different fixed base simulators. As the visual task became more difficult, drivers looked less at the road centre area ahead, and looked at the display more often, for longer periods, and for more varied durations. The auditory task led to an increasing gaze concentration to road centre. Gaze concentration to the road centre area was also found as driving task complexity increased, as shown in differences between rural curved- and straight sections, between rural and motorway road types, and between simulator and field motorways.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
刚刚
科研通AI6.3应助KamilahKupps采纳,获得10
3秒前
体贴以筠发布了新的文献求助10
4秒前
猴哥发布了新的文献求助10
7秒前
斯文莺发布了新的文献求助10
8秒前
DrN完成签到,获得积分10
11秒前
14秒前
15秒前
111完成签到 ,获得积分10
16秒前
沉静乾完成签到,获得积分10
18秒前
不攻自破发布了新的文献求助10
20秒前
华仔应助inRe采纳,获得10
21秒前
YOG完成签到,获得积分10
29秒前
38秒前
39秒前
小马甲应助那行laxg采纳,获得10
40秒前
斯文败类应助科研通管家采纳,获得10
41秒前
Hello应助科研通管家采纳,获得20
41秒前
大模型应助科研通管家采纳,获得10
41秒前
汉堡包应助科研通管家采纳,获得10
41秒前
41秒前
inRe发布了新的文献求助10
42秒前
小休完成签到 ,获得积分10
43秒前
熊小松发布了新的文献求助10
44秒前
48秒前
KamilahKupps发布了新的文献求助10
49秒前
大神瓜完成签到,获得积分10
50秒前
科研通AI6.2应助huizi采纳,获得10
52秒前
熊小松完成签到,获得积分10
57秒前
1分钟前
1分钟前
1分钟前
GingerF应助dihele采纳,获得100
1分钟前
周周粥完成签到 ,获得积分10
1分钟前
1分钟前
那行laxg发布了新的文献求助10
1分钟前
huizi发布了新的文献求助10
1分钟前
1分钟前
SYX发布了新的文献求助10
1分钟前
能干的小蘑菇完成签到,获得积分10
1分钟前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Modern Epidemiology, Fourth Edition 5000
Kinesiophobia : a new view of chronic pain behavior 5000
Molecular Biology of Cancer: Mechanisms, Targets, and Therapeutics 3000
Digital Twins of Advanced Materials Processing 2000
Propeller Design 2000
Weaponeering, Fourth Edition – Two Volume SET 2000
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 纳米技术 化学工程 生物化学 物理 计算机科学 内科学 复合材料 催化作用 物理化学 光电子学 电极 冶金 细胞生物学 基因
热门帖子
关注 科研通微信公众号,转发送积分 6012170
求助须知:如何正确求助?哪些是违规求助? 7566168
关于积分的说明 16138708
捐赠科研通 5159142
什么是DOI,文献DOI怎么找? 2762966
邀请新用户注册赠送积分活动 1741984
关于科研通互助平台的介绍 1633854